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The Medial Temporal Lobe and Recognition Memory
Open accessAbstract
The ability to recognize a previously experienced stimulus is supported by two processes: recollection of the stimulus in the context of other information associated with the experience, and a sense of familiarity with the features of the stimulus. Although familiarity and recollection are functionally distinct, there is considerable debate about how these kinds of memory are supported by regions in the medial temporal lobes (MTL). Here, we review evidence for the distinction between recollection and familiarity and then consider the evidence regarding the neural mechanisms of these processes. Evidence from neuropsychological, neuroimaging, and neurophysiological studies of humans, monkeys, and rats indicates that different subregions of the MTL make distinct contributions to recollection and familiarity. The data suggest that the hippocampus is critical for recollection but not familiarity. The parahippocampal cortex also contributes to recollection, possibly via the representation and retrieval of contextual (especially spatial) information, whereas perirhinal cortex contributes to and is necessary for familiarity-based recognition. The findings are consistent with an anatomically guided hypothesis about the functional organization of the MTL and suggest mechanisms by which the anatomical components of the MTL interact to support the phenomenology of recollection and familiarity.
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“For instance, the medial temporal, medial prefrontal, midline and parietal brain regions make up a ‘core network’ that is engaged during episodic recall and imagining the future [25–27,33–36]”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [35]
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“the PHC has been implicated in memory for specific context information”
From Delay-dependent contributions of medial temporal lobe regions to episodic memory retrieval (2015) · cites this paper as Eichenbaum et al., 2007
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Metadata
- Authors
- Eichenbaum, H., Yonelinas, A. P., & Ranganath, C.
- Affiliations
- Boston University (US)
- University of California, Davis (US)
- Department of Psychology, University of California, Davis, California 95616;,
- Venue
- Annual Review of Neuroscience
- Publisher
- Annual Reviews
- Published
- 2007-07-01
- Volume
- 30
- Issue
- 1
- Pages
- 123-152
- ISSN
- 0147-006X (ISSN-L)
- 1545-4126
- PMC
- PMC2064941
- OpenAlex
- W2170972933
- Semantic Scholar
- 9d620ada4eec7c2732dc3b390cc95adc3d39387c
- Cited by
- 2,580
- References
- 169
- Citations by year
- 2026: 73 · 2025: 122 · 2024: 108 · 2023: 102 · 2022: 105 · 2021: 123 · 2020: 150 · 2019: 147 · 2018: 148 · 2017: 165 · 2016: 141 · 2015: 136 · 2014: 149 · 2013: 185 · 2012: 173
- FWCI
- 9.69
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annual Review of Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH-71702, MH67821, MH059352, MH51570, R01MH051570, MH 52090, R01MH083734, P50MH071702, R01MH059352, R01MH052090)
- National Institute of Neurological Disorders and Stroke (NS40813, P01NS040813)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- medial temporal lobe, recognition memory, recollection, familiarity, hippocampus, parahippocampal cortex, perirhinal cortex, contextual memory, spatial memory, memory retrieval
- MeSH terms
- Animals, Evoked Potentials, Hippocampus, Humans, Memory, Models, Neurological, Neural Pathways, Temporal Lobe, Parahippocampal Gyrus, Recognition, Psychology, Models, Animal
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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